What is the salary for MLOps Engineer at Databricks?

Listed range: $145k – $195k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the MLOps Engineer role based?

Seattle, WA, Seattle (Washington). Work mode: Hybrid.

How do I apply to Databricks?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0010. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.

Is Databricks hiring other AI roles?

Databricks (Data & ML platform) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

MLOps Engineer

Databricks· Seattle, WA· Ref. EXP-2026-0010 4.5 (2,100 reviews)

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Salary: $145k – $195k / year
Type: Full-time
Location: Seattle, WA · Seattle (Washington) · Hybrid
Valid through: 10/31/2026

Additional details

Posted: Posted 4 days ago
Applications: 22; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: Washington
Team: Databricks — AI team
Company size: 5000+
Founded: 2013

Job description

Databricks is hiring a MLOps Engineer (Full-time) hybrid. This mlops engineer role is part of the AI hiring market in Seattle (Washington). Scale model registry, deployment, and monitoring for enterprise ML workloads. Listed compensation: $145k – $195k / year. Stack: MLflow, Kubernetes, CI/CD, Python.

MLOps Engineer profiles are in high demand in Seattle: Seattle is a major cloud and AI hub. Amazon, Microsoft, and a deep startup ecosystem recruit ML engineers, applied scientists, and platform engineers.…

The team

Databricks — AI team

Responsibilities

Ship production AI features with measurable quality and latency targets
Partner with product and design on roadmap and customer feedback
Improve observability, evals, and safe rollout practices

Requirements

Strong Python or TypeScript fundamentals and 3+ years relevant experience
Hands-on LLM, ML, or data platform work in production
Clear written communication and async collaboration

Tech stack

MLflowKubernetesCI/CDPython

Benefits

Health, dental, vision

401(k) match

Equity

Learning budget

Flexible PTO

Hiring process

1Recruiter screen (30 min)
2Technical interview (60 min)
3Team fit
4Offer

Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience

Salary guide — MLOps Engineer in Seattle →

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FAQ — MLOps Engineer

What is the salary for MLOps Engineer at Databricks?: Listed range: $145k – $195k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the MLOps Engineer role based?: Seattle, WA, Seattle (Washington). Work mode: Hybrid.
How do I apply to Databricks?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0010. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.
Is Databricks hiring other AI roles?: Databricks (Data & ML platform) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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